An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and Fusion: Taxonomy and future directions

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The reciprocal preference relation (RPR) is a powerful tool to represent decision makers’ preferences in decision making problems. In recent years, various types of RPRs have been reported and investigated, some of them being the ‘classical’ RPRs, interval-valued RPRs and hesitant RPRs. Additive consistency is one of the most commonly used property to measure the consistency of RPRs, with many methods developed to manage additive consistency of RPRs. To provide a clear perspective on additive consistency issues of RPRs, this paper reviews the consistency measurements of the different types of RPRs. Then, consistency-driven decision making and information fusion methods are also reviewed and classified into four main types: consistency improving methods; consistency-based methods to manage incomplete RPRs; consistency control in consensus decision making methods; and consistency-driven linguistic decision making methods. Finally, with respect to insights gained from prior researches, further directions for the research are proposed

Multicriteria methodology for decoupling point placement under production postponement strategy

The accelerated growth of global markets and the increased bargaining power of customers, has generated a highly competitive environment with a lot of risks for manufacturing companies. In response, the literature has shown mass customization and, in particular way, the postponement strategy as new paradigms of production that allows offering simultaneously high levels of flexibility and efficiency to consumers. Regarding this issue, the decoupling point location is positioned as the most important decision in the implementation of postponement. Starting from the importance of this topic and from a review of the state of the art, it was detected the need to develop a methodology to locate the decoupling point, by integrating qualitative and quantitative criteria and that additionally allows the participation of panel of experts. Thereby, this thesis shows the development of a new multi-criteria methodology; which consists of 7 steps that allow locating the decoupling point, in a production system, according to the needs of the system and relying on the experience and knowledge of experts. Additionally, in order to validate the performance of the methodology in real cases, two study cases developed in the companies Herragro S.A. and Muebles Marco Gomez, are presentedResumen: El crecimiento acelerado de los mercados globalizados y el aumento del poder de negociación de los clientes, ha generado un ambiente fuertemente competitivo y con gran cantidad de riesgos para las empresas manufactureras. Como respuesta, la literatura ha mostrado a la personalización masiva y, de forma particular a la estrategia de aplazamiento como nuevos paradigmas de la producción que permiten ofrecer a los clientes de forma simultánea altos niveles de flexibilidad y eficiencia. Frente a este tema la ubicación del punto de desacople se posiciona como la decisión más importante en la implementación del aplazamiento. Partiendo de la importancia de este tópico y de una revisión del estado del arte, se detecta la necesidad de desarrollar una metodología que permita ubicar el punto de desacople integrando criterios cualitativos y cuantitativos y que adicionalmente permita la participación de grupos de expertos. De esta forma, la presente tesis muestra el desarrollo de una nueva metodología multicriterio; la cual está conformada por 7 pasos que permiten ubicar el punto de desacople, en un sistema de producción, acorde con las necesidades del sistema y apoyándose de la experiencia y conocimiento de los expertos. Adicionalmente, y con el objetivo de validar el funcionamiento de la metodología en casos reales, se presentan dos casos de estudio desarrollados en las empresas Herragro S.A y Muebles Marco GómezMaestrí